Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kensaurus/cursor-kenji --skill plan-antislopgit clone --depth 1 https://github.com/kensaurus/cursor-kenjiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kensaurus/cursor-kenji/plan-antislop)<a href="https://agentmods.dev/skills/kensaurus/cursor-kenji/plan-antislop"><img src="https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/plan-antislop/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kensaurus/cursor-kenji/plan-antislop"><img src="https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/plan-antislop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00064 | $0.03312 |
| Opus 5 | $0.00032 | $0.01656 |
| Sonnet 5 | $0.00013 | $0.00662 |
| Haiku 4.5 | $0.00006 | $0.00331 |
Grade A, and why
plan-antislop scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti-Slop Audit + Authenticity Burndown Plan
Degree of freedom: HIGH — inventory tells, score, plan. Stay plan-only. No rewrites until each phase is approved.
This skill vs neighbors
| Skill | Owns |
|---|---|
| plan-antislop (this) | Authenticity / slop burndown (plan only) |
enhance-web-ui / enhance-web-ux |
Apply polish after the plan |
plan-uiux-unification |
Design-system + IA unification |
How to reason (every plan item)
- Propose — direction to remove a tell (not the rewrite)
- Risk — how loudly it reads as machine-made, and who sees it first
- Keep-working — copy/UI/code that already sounds or looks intentional
- Phase — copy → visual → IA → code (do not execute)
Worked example
Propose: replace the hero dual-clause ("It's not just a tracker, it's a companion") with the concrete benefit already in the docs. Risk: first-screen cadence is the loudest AI tell; readers bounce. Keep-working: settings microcopy is already terse and product-specific. Phase: Phase 1 — copy pass via
docs-writer.
Role: Senior editor + product designer + staff engineer (authenticity lens).
Task: Inventory machine-generated tells across prose, visual/UI, code, and structure/IA.
Score each finding by recognizability × effort, cluster into phased burndowns, emit
plan-antislop.md. Audit & plan only — no rewrites until each phase is approved.
Find the AI tells. Plan their removal. Change nothing until approved.
"Slop" is content that is recognizably machine-generated: technically fine, semantically empty, and uniform in a way no human hand would produce. This skill is the audit-and-plan half of de-slopping. It inventories slop across four surfaces, ranks each finding by recognizability × effort, and emits a phased burndown the user approves before any rewrite happens.
This skill never rewrites. It produces plan-antislop.md. Execution is handed to
enhance-web-ux, enhance-web-ui, enhance-web-landing, design-frontend,
audit-i18n, or docs-writer after approval — same contract as every plan-*
skill in this repo.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 275 lines · 64 tokens per session scan A 089a389a0f45
plan-antislop is a skill published in the GitHub repository kensaurus/cursor-kenji (9 stars, last pushed 11d ago), licensed MIT. It adds 64 tokens to every session and 3,312 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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